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Human information processing in spee...

Uhrig, Stefan.

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Human information processing in speech quality assessment

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Human information processing in speech quality assessment/ by Stefan Uhrig.
作者:	Uhrig, Stefan.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xvi, 169 p. :ill., digital ;24 cm.
內容註:	Introduction -- Speech Quality Fundamentals -- Speech Quality Assessment -- Functional Model of Quality Perception -- Discrimination of Speech Quality Change Along Perceptual Dimensions -- Talker Identification Under Varying Speech Quality and Spatialization -- General Discussion and Outlook -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Computational linguistics. -
電子資源:	https://doi.org/10.1007/978-3-030-71389-8
ISBN:	9783030713898

Human information processing in speech quality assessment
Uhrig, Stefan.

Human information processing in speech quality assessment[electronic resource] /by Stefan Uhrig. - Cham :Springer International Publishing :2021. - xvi, 169 p. :ill., digital ;24 cm. - T-labs series in telecommunication services,2192-2810. - T-labs series in telecommunication services..

Introduction -- Speech Quality Fundamentals -- Speech Quality Assessment -- Functional Model of Quality Perception -- Discrimination of Speech Quality Change Along Perceptual Dimensions -- Talker Identification Under Varying Speech Quality and Spatialization -- General Discussion and Outlook -- Conclusion.

This book provides a new multi-method, process-oriented approach towards speech quality assessment, which allows readers to examine the influence of speech transmission quality on a variety of perceptual and cognitive processes in human listeners. Fundamental concepts and methodologies surrounding the topic of process-oriented quality assessment are introduced and discussed. The book further describes a functional process model of human quality perception, which theoretically integrates results obtained in three experimental studies. This book's conceptual ideas, empirical findings, and theoretical interpretations should be of particular interest to researchers working in the fields of Quality and Usability Engineering, Audio Engineering, Psychoacoustics, Audiology, and Psychophysiology. Presents a new process-oriented approach towards speech quality assessment to uncover influences of speech transmission quality on human information processing; Proposes a multi-method assessment approach including subjective, behavioral, and neurophysiological levels of analysis; Reports findings from three experimental studies, that demonstrate interactions between perceived speech quality, contextual, and content-related influencing factors.

ISBN: 9783030713898

Standard No.: 10.1007/978-3-030-71389-8doiSubjects--Topical Terms:

606540
Computational linguistics.

LC Class. No.: P98

Dewey Class. No.: 006.35

Human information processing in speech quality assessment
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520 $a This book provides a new multi-method, process-oriented approach towards speech quality assessment, which allows readers to examine the influence of speech transmission quality on a variety of perceptual and cognitive processes in human listeners. Fundamental concepts and methodologies surrounding the topic of process-oriented quality assessment are introduced and discussed. The book further describes a functional process model of human quality perception, which theoretically integrates results obtained in three experimental studies. This book's conceptual ideas, empirical findings, and theoretical interpretations should be of particular interest to researchers working in the fields of Quality and Usability Engineering, Audio Engineering, Psychoacoustics, Audiology, and Psychophysiology. Presents a new process-oriented approach towards speech quality assessment to uncover influences of speech transmission quality on human information processing; Proposes a multi-method assessment approach including subjective, behavioral, and neurophysiological levels of analysis; Reports findings from three experimental studies, that demonstrate interactions between perceived speech quality, contextual, and content-related influencing factors.
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